Gregor Kastner : Citation Profile


Are you Gregor Kastner?

WU Wirtschaftsuniversität Wien

7

H index

4

i10 index

179

Citations

RESEARCH PRODUCTION:

4

Articles

16

Papers

RESEARCH ACTIVITY:

   8 years (2011 - 2019). See details.
   Cites by year: 22
   Journals where Gregor Kastner has often published
   Relations with other researchers
   Recent citing documents: 58.    Total self citations: 13 (6.77 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pka1304
   Updated: 2020-09-26    RAS profile: 2020-04-24    
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Relations with other researchers


Works with:

Huber, Florian (10)

Feldkircher, Martin (8)

Authors registered in RePEc who have co-authored more than one work in the last five years with Gregor Kastner.

Is cited by:

Huber, Florian (61)

Pfarrhofer, Michael (21)

Feldkircher, Martin (17)

Punzi, Maria Teresa (9)

Janda, Karel (7)

Krištoufek, Ladislav (7)

Kaufmann, Daniel (6)

Böck, Maximilian (6)

Hautsch, Nikolaus (6)

Koop, Gary (6)

Zens, Gregor (5)

Cites to:

Shephard, Neil (15)

Korobilis, Dimitris (15)

Koop, Gary (13)

Rossi, Peter (9)

Omori, Yasuhiro (9)

Nakajima, Jouchi (8)

Huber, Florian (7)

Conti, Gabriella (5)

Heckman, James (5)

Feldkircher, Martin (5)

Piatek, Rémi (5)

Main data


Where Gregor Kastner has published?


Working Papers Series with more than one paper published# docs
Papers / arXiv.org10
Department of Economics Working Papers / Vienna University of Economics and Business, Department of Economics2
Department of Economics Working Paper Series / WU Vienna University of Economics and Business2

Recent works citing Gregor Kastner (2020 and 2019)


YearTitle of citing document
2041Biofuels: review of policies and impacts. (2041). Krištoufek, Ladislav ; Janda, Karel ; Zilberman, David. In: CUDARE Working Papers. RePEc:ags:ucbecw:120415.

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2019Dealing with cross-country heterogeneity in panel VARs using finite mixture models. (2018). Huber, Florian. In: Papers. RePEc:arx:papers:1804.01554.

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2019Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership. (2019). Zens, Gregor. In: Papers. RePEc:arx:papers:1809.04853.

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2020A Sieve-SMM Estimator for Dynamic Models. (2019). Forneron, Jean-Jacques. In: Papers. RePEc:arx:papers:1902.01456.

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2020Bayesian prediction of jumps in large panels of time series data. (2019). Papaspiliopoulos, Omiros ; Dellaportas, Petros ; Alexopoulos, Angelos. In: Papers. RePEc:arx:papers:1904.05312.

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2019Measuring international uncertainty using global vector autoregressions with drifting parameters. (2019). Pfarrhofer, Michael. In: Papers. RePEc:arx:papers:1908.06325.

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2020Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy. (2019). Pfarrhofer, Michael ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:1911.06206.

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2019A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior. (2019). Ankargren, Sebastian ; Yang, Yukai ; Unosson, Maans. In: Papers. RePEc:arx:papers:1911.09151.

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2019Estimating Large Mixed-Frequency Bayesian VAR Models. (2019). Ankargren, Sebastian ; Jon, Paulina. In: Papers. RePEc:arx:papers:1912.02231.

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2019Triple the gamma -- A unifying shrinkage prior for variance and variable selection in sparse state space and TVP models. (2019). Knaus, Peter ; Fruhwirth-Schnatter, Sylvia ; Cadonna, Annalisa. In: Papers. RePEc:arx:papers:1912.03100.

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2019The international effects of central bank information shocks. (2019). Stelzer, Anna ; Pfarrhofer, Michael. In: Papers. RePEc:arx:papers:1912.03158.

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2020A multi-country dynamic factor model with stochastic volatility for euro area business cycle analysis. (2020). Huber, Florian ; Piribauer, Philipp ; Pfarrhofer, Michael. In: Papers. RePEc:arx:papers:2001.03935.

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2020Bayesian Inference in High-Dimensional Time-varying Parameter Models using Integrated Rotated Gaussian Approximations. (2020). Pfarrhofer, Michael ; Koop, Gary ; Huber, Florian. In: Papers. RePEc:arx:papers:2002.10274.

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2020Forecasts with Bayesian vector autoregressions under real time conditions. (2020). Pfarrhofer, Michael. In: Papers. RePEc:arx:papers:2004.04984.

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2020Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods. (2020). Huber, Florian ; Koop, Gary ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2005.03906.

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2020Dynamic shrinkage in time-varying parameter stochastic volatility in mean models. (2020). Pfarrhofer, Michael ; Huber, Florian. In: Papers. RePEc:arx:papers:2005.06851.

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2020Measuring Macroeconomic Uncertainty: A Cross-Country Analysis. (2020). Sarferaz, Samad ; Dibiasi, Andreas. In: Papers. RePEc:arx:papers:2006.09007.

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2020Flexible Mixture Priors for Time-varying Parameter Models. (2020). Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2006.10088.

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2020Inference in Bayesian Additive Vector Autoregressive Tree Models. (2020). Huber, Florian ; Rossini, Luca. In: Papers. RePEc:arx:papers:2006.16333.

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2020Covered Interest Parity: A Stochastic Volatility Approach to Estimate the Neutral Band. (2020). Hernandez, Juan Ramon. In: Working Papers. RePEc:bdm:wpaper:2020-02.

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2019Spillovers from US monetary policy: evidence from a time varying parameter global vector auto‐regressive model. (2019). Huber, Florian ; Feldkircher, Martin ; Doppelhofer, Gernot ; Cuaresma, Jesus Crespo. In: Journal of the Royal Statistical Society Series A. RePEc:bla:jorssa:v:182:y:2019:i:3:p:831-861.

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2020Identification of structural vector autoregressions by stochastic volatility. (2020). Braun, Robin ; Bertsche, Dominik. In: Bank of England working papers. RePEc:boe:boeewp:0869.

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2019Comparing Forecasts of Extremely Large Conditional Covariance Matrices. (2019). Ruiz, Esther ; Moura, Guilherme. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:29291.

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2019Nonlinear dependence in cryptocurrency markets. (2019). Laurini, Márcio ; Chaim, Pedro. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:48:y:2019:i:c:p:32-47.

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2019Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification. (2019). Schumacher, Christian ; Kaufmann, Sylvia. In: Journal of Econometrics. RePEc:eee:econom:v:210:y:2019:i:1:p:116-134.

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2019Forecast density combinations of dynamic models and data driven portfolio strategies. (2019). Hoogerheide, L ; Grassi, S ; Borowska, A ; Baturk, N ; van Dijk, H K. In: Journal of Econometrics. RePEc:eee:econom:v:210:y:2019:i:1:p:170-186.

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2019Achieving shrinkage in a time-varying parameter model framework. (2019). Fruhwirth-Schnatter, Sylvia ; Bitto, Angela. In: Journal of Econometrics. RePEc:eee:econom:v:210:y:2019:i:1:p:75-97.

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2019Large-scale portfolio allocation under transaction costs and model uncertainty. (2019). Hautsch, Nikolaus ; Voigt, Stefan. In: Journal of Econometrics. RePEc:eee:econom:v:212:y:2019:i:1:p:221-240.

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2020Reducing the state space dimension in a large TVP-VAR. (2020). Strachan, Rodney ; Eisenstat, Eric. In: Journal of Econometrics. RePEc:eee:econom:v:218:y:2020:i:1:p:105-118.

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2019A Harris process to model stochastic volatility. (2019). Mena, Ramses H ; Anzarut, Michelle. In: Econometrics and Statistics. RePEc:eee:ecosta:v:10:y:2019:i:c:p:151-169.

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2020Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation. (2020). Veiga, Helena ; Ruiz, Esther ; Czellar, Veronika ; Mao, Xiuping. In: Econometrics and Statistics. RePEc:eee:ecosta:v:13:y:2020:i:c:p:84-105.

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2020Factor state–space models for high-dimensional realized covariance matrices of asset returns. (2020). Gribisch, Bastian ; Liesenfeld, Roman ; Hartkopf, Jan Patrick. In: Journal of Empirical Finance. RePEc:eee:empfin:v:55:y:2020:i:c:p:1-20.

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2019Food versus fuel: An updated and expanded evidence. (2019). Krištoufek, Ladislav ; Janda, Karel ; Zilberman, David ; Kristoufek, Ladislav ; Filip, Ondrej. In: Energy Economics. RePEc:eee:eneeco:v:82:y:2019:i:c:p:152-166.

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2020Energy commodity uncertainties and the systematic risk of US industries. (2020). Balli, Faruk ; Naeem, Muhammad Abubakr ; de Bruin, Anne ; Hussain, Syed Jawad. In: Energy Economics. RePEc:eee:eneeco:v:85:y:2020:i:c:s0140988319303846.

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2020Predicting international equity returns: Evidence from time-varying parameter vector autoregressive models. (2020). Huber, Florian ; GUPTA, RANGAN ; Piribauer, Philipp. In: International Review of Financial Analysis. RePEc:eee:finana:v:68:y:2020:i:c:s1057521918307555.

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2020Uncertainty matters: Evidence from close elections. (2020). Redl, Chris. In: Journal of International Economics. RePEc:eee:inecon:v:124:y:2020:i:c:s0022199620300155.

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2019Decomposing global yield curve co-movement. (2019). Korobilis, Dimitris ; Cao, Shuo ; Byrne, Joseph P. In: Journal of Banking & Finance. RePEc:eee:jbfina:v:106:y:2019:i:c:p:500-513.

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2020International effects of a compression of euro area yield curves. (2020). Huber, Florian ; Feldkircher, Martin ; Gruber, Thomas. In: Journal of Banking & Finance. RePEc:eee:jbfina:v:113:y:2020:i:c:s037842661930072x.

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2019The relationship between fuel and food prices: Methods, outcomes, and lessons for commodity price risk management. (2019). Krištoufek, Ladislav ; Janda, Karel ; Kristoufek, Ladislav. In: CAMA Working Papers. RePEc:een:camaaa:2019-20.

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2019Minnesota-type adaptive hierarchical priors for large Bayesian VARs. (2019). , Joshua . In: CAMA Working Papers. RePEc:een:camaaa:2019-61.

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2019Bayesian Analysis of Coefficient Instability in Dynamic Regressions. (2019). Taboga, Marco ; Ciapanna, Emanuela. In: Econometrics. RePEc:gam:jecnmx:v:7:y:2019:i:3:p:29-:d:243958.

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2020Triple the Gamma—A Unifying Shrinkage Prior for Variance and Variable Selection in Sparse State Space and TVP Models. (2020). Knaus, Peter ; Fruhwirth-Schnatter, Sylvia ; Cadonna, Annalisa. In: Econometrics. RePEc:gam:jecnmx:v:8:y:2020:i:2:p:20-:d:360596.

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2020Stochastic Volatility and GARCH: Do Squared End-of-Day Returns Provide Similar Information?. (2020). Allen, David Edmund. In: Journal of Risk and Financial Management. RePEc:gam:jjrfmx:v:13:y:2020:i:9:p:202-:d:410152.

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2020Do We Need Stochastic Volatility and Generalised Autoregressive Conditional Heteroscedasticity? Comparing Squared End-Of-Day Returns on FTSE. (2020). McAleer, Michael ; Allen, David. In: Risks. RePEc:gam:jrisks:v:8:y:2020:i:1:p:12-:d:315296.

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2019Country-Level Effects of the ECBs Expanded Asset Purchase Programme. (2019). Zlobins, Andrejs. In: Working Papers. RePEc:ltv:wpaper:201902.

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2019Variational Bayesian Inference in Large Vector Autoregressions with Hierarchical Shrinkage. (2019). Koop, Gary ; Gefang, Deborah ; Poon, Aubrey. In: Economic Statistics Centre of Excellence (ESCoE) Discussion Papers. RePEc:nsr:escoed:escoe-dp-2019-07.

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2019How useful are time-varying parameter models for forecasting economic growth in CESEE?. (2019). Feldkircher, Martin ; Hauzenberger, Nico. In: Focus on European Economic Integration. RePEc:onb:oenbfi:y:2019:i:q1/19:b:2.

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2020Covered Interest Parity: A Stochastic Volatility Approach to Estimate the Neutral Band. (2020). Hernandez, Juan. In: MPRA Paper. RePEc:pra:mprapa:100744.

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2019The transmission of uncertainty shocks on income inequality: State-level evidence from the United States. (2019). Pfarrhofer, Michael ; Huber, Florian ; Fischer, Manfred. In: Working Papers in Economics. RePEc:ris:sbgwpe:2018_004.

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2019Measuring international uncertainty using global vector autoregressions with drifting parameters. (2019). Pfarrhofer, Michael. In: Working Papers in Economics. RePEc:ris:sbgwpe:2019_003.

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2019Exchange rate dynamics and monetary policy: Evidence from a non-linear DSGE-VAR approach. (2019). Rabitsch, Katrin ; Huber, Florian ; Rabithsc, Katrin. In: Working Papers in Economics. RePEc:ris:sbgwpe:2019_005.

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2019Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy. (2019). Niko, Hauzenberger ; Pfarrhofer, Michael. In: Working Papers in Economics. RePEc:ris:sbgwpe:2019_006.

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2020Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions. (2020). West, Mike. In: Annals of the Institute of Statistical Mathematics. RePEc:spr:aistmt:v:72:y:2020:i:1:d:10.1007_s10463-019-00741-3.

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2019Global Factors Driving Inflation and Monetary Policy: A Global VAR Assessment. (2019). Feldkircher, Martin ; Tondl, Gabriele ; Lukmanova, Elizaveta . In: Department of Economics Working Papers. RePEc:wiw:wiwwuw:wuwp289.

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2019Exchange rate dynamics and monetary policy -- Evidence from a non-linear DSGE-VAR approach. (2019). Rabitsch, Katrin ; Huber, Florian. In: Department of Economics Working Papers. RePEc:wiw:wiwwuw:wuwp295.

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2019Global Factors Driving Inflation and Monetary Policy: A Global VAR Assessment. (2019). Feldkircher, Martin ; Tondl, Gabriele ; Lukmanova, Elizaveta . In: Department of Economics Working Paper Series. RePEc:wiw:wus005:7090.

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2020A multi‐country dynamic factor model with stochastic volatility for euro area business cycle analysis. (2020). Pfarrhofer, Michael ; Huber, Florian ; Piribauer, Philipp. In: Journal of Forecasting. RePEc:wly:jforec:v:39:y:2020:i:6:p:911-926.

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2019Regional Output Growth in the United Kingdom: More Timely and Higher Frequency Estimates, 1970-2017. (2019). Mitchell, James ; McIntyre, Stuart ; Koop, Gary ; Poon, Aubrey. In: EMF Research Papers. RePEc:wrk:wrkemf:20.

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Works by Gregor Kastner:


YearTitleTypeCited
2011EUROPEAN RAPESEED AND FOSSIL DIESEL: THRESHOLD COINTEGRATION ANALYSIS AND POSSIBLE IMPLICATIONS In: 51st Annual Conference, Halle, Germany, September 28-30, 2011.
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2017Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models In: Papers.
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paper13
2018Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models In: Papers.
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2018Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models.(2018) In: Working Papers in Economics.
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This paper has another version. Agregated cites: 4
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2016Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model.(2016) In: Department of Economics Working Papers.
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This paper has another version. Agregated cites: 4
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2016Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model.(2016) In: Department of Economics Working Paper Series.
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2019Should I stay or should I go? A latent threshold approach to large‐scale mixture innovation models.(2019) In: Journal of Applied Econometrics.
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This paper has another version. Agregated cites: 4
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2017Sparse Bayesian time-varying covariance estimation in many dimensions In: Papers.
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2019Sparse Bayesian time-varying covariance estimation in many dimensions.(2019) In: Journal of Econometrics.
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This paper has another version. Agregated cites: 11
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2019Sparse Bayesian vector autoregressions in huge dimensions In: Papers.
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paper9
2017Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models In: Papers.
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2014Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models.(2014) In: Computational Statistics & Data Analysis.
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This paper has another version. Agregated cites: 84
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2017Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs? In: Papers.
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2018Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs?.(2018) In: Department of Economics Working Papers.
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This paper has another version. Agregated cites: 9
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2018Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs?.(2018) In: Department of Economics Working Paper Series.
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This paper has another version. Agregated cites: 9
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2019Introducing shrinkage in heavy-tailed state space models to predict equity excess returns In: Papers.
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2019Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage In: Papers.
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2019Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol In: Papers.
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2019Dealing with Stochastic Volatility in Time Series Using the R Package stochvol In: Papers.
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2016Dealing with Stochastic Volatility in Time Series Using the R Package stochvol.(2016) In: Journal of Statistical Software.
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This paper has another version. Agregated cites: 39
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